一种新的传感器网络能量收集优化技术  

New Optimized Energy Harvesting Technology for Sensor Networks

作　　者：王艳丽[1] 阴国富[1] 金蓉[2] WANG Yan-li;YIN Guo-fu;JIN Rong(School of Network Security and Informatization,Weinan Normal University,Weinan,Shaanxi 714000,China;School of Electronics and Information,Northwestern Polytechnical University,Xi’an 710129,China)

机构地区：[1]渭南师范学院网络安全与信息化学院,陕西渭南714000 [2]西北工业大学电子信息学院,西安710129

出　　处：《计算机科学》2018年第11期82-86,共5页Computer Science

基　　金：国家自然科学基金(61172071);陕西省工业攻关项目(2017GY-204);渭南师范学院自然科学类研究项目(18YKS15);渭南师范学院教学改革研究项目(JG201718);渭南市科技计划项目(2017JCYJ-2-2)资助

摘　　要：针对无线传感器网络能量严格受限和节点间能量不均衡的问题,建立无线信息和功率同时传输的协作MIMO通信模型;针对如何获取系统的最佳能量效率的问题,提出一种新的有效资源分配算法。仿真分析和原型实验结果表明,新的有效资源分配算法在迭代次数达到12时收敛,能量效率随发射功率额度的增加而迅速增加,当最大发射功率额度达到3dBm时能量效率趋向平稳;与SISO传输的能耗相比,采用协作MIMO信息和功率同时传输的技术能节省1个以上的能量级,并能得到较高的网络效用。Aiming at the problems that the energy is strictly constrained and the energy among nodes is unbalanced in wireless sensor network,this paper constructed cooperative MIMO transmission model which transfers wireless information and power simultaneously.In order to solve the problem of how to obtain the optimal energy efficiency of system,this paper proposed a new effective resource allocation algorithm.Simulation analysis and prototypical experiment results show that the new algorithm can converge when the number of iterations reaches 12 and the energy efficiency quickly increases and keeps stable when the maximum transmission power allowance is 3dBm.Compared with SISO,the energy consumption of cooperative MIMO can save more than one energy level,meanwhile,the wireless information and power transfer technique can maximize network utility.

关 键 词：无线传感器网络 协作MIMO 能量收集 能耗 网络效用 

分 类 号：TP393.01[自动化与计算机技术—计算机应用技术] TP212.9[自动化与计算机技术—计算机科学与技术]